ENSEMBLES MUSICAUX REPRÉSENTATIFS DE LA PHILHARMONIE « TRANSILVANIA » DE CLUJ-NAPOCA. LES QUATORS À CORDES PENDANT LES ANNÉES 1955 – 1989 by Simona-Mihaela SPIRIDON

“…The “Napoca” Quartet was the first chamber music ensemble to be founded only a year after the philharmonic orchestra, enjoying the presence of the concertmaster Ştefan Ruha since 1964. …”
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L’ensemble monumental du Pâtis à Vieillevigne (Loire-Atlantique) : un nouvel exemple de complexe sur cour laténien en Gaule by Yann Dufay-Garel, Marie Grall, Sandrine Paradis-Grenouillet, Rémy Wassong

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Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

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The potential impacts of climate and forest changes on streamflow for micro-, meso- and macro-scale catchments in Norway by Shaochun Huang, Stephanie Eisner, Wai Kwok Wong, Nicolas Cattaneo

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Impacts of Model Bias on the Climate Change Signal and Effects of Weighted Ensembles of Regional Climate Model Simulations: A Case Study over Southern Québec, Canada by Hyung-Il Eum, Philippe Gachon, René Laprise

“…Through the use of multiple climate scenarios from 12 regional climate model simulations, the ensemble mean, and three synthetic simulations generated by a weighting procedure, we investigated intermodel seasonal climate change signals between current and future periods, for both median and extreme precipitation/temperature values. …”
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Replacement of Ensemble Averaging by the Use of a Broadband Source in Scattering of Light from a One-Dimensional Randomly Rough Interface between Two Dielectric Media by Alexei A. Maradudin, Ingve Simonsen

“…By the use of phase perturbation theory we show that if a single realization of a one-dimensional randomly rough interface between two dielectric media is illuminated at normal incidence from either medium by a broadband Gaussian beam, it produces a scattered field whose differential reflection coefficient closely matches the result produced by averaging the differential reflection coefficient produced by a monochromatic incident beam over the ensemble of realizations of the interface profile function.…”
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Linking machine learning and biophysical structural features in drug discovery by Armin Ahmadi, Shivangi Gupta, Vineetha Menon, Jerome Baudry

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Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US by Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa-Yarasca, Kabindra Adhikari, Chad B. Hajda, Douglas R. Smith

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Predicting wind power using LSTM, Transformer, and other techniques by Arun Kumar M, Rithick Joshua K, Sahana Rajesh, Caroline Dorathy Esther J, Kavitha Devi MK

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Shale-pore Semantic Segmentation Network Based on Pseudo-labeling by Chenzhang WANG, Yanfei WANG, Zhijing BAI

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Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases by Naimeh Niazi, Hamideh Razavi

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PhyIndBC: Development of a machine learning tool for screening of potential breast cancer inhibitors from phytochemicalsGitHub by Agneesh Pratim Das, Subhash M. Agarwal

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Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm by Jannatul Mauya, Saad Sahriar, Sanjida Akther, Ruhul Amin, Sabba Ruhi, Md. Shamim Reza

Subjects: “…feature ensemble…”
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Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers by C. Rajathi, P. Rukmani

Subjects: “…Ensemble learning…”
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State updating of the Xin'anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models by J. Gong, J. Gong, X. Liu, C. Yao, C. Yao, Z. Li, A. H. Weerts, A. H. Weerts, Q. Li, S. Bastola, Y. Huang, J. Xu

“…However, the runoff routing process may introduce a lag between soil moisture and outlet discharge, presenting challenges in simultaneously assimilating the two types of observations into a hydrological model. The asynchronous ensemble Kalman filter (AEnKF), an adaptation of the ensemble Kalman filter (EnKF), is capable of utilizing observations from both the assimilation moment and the preceding periods, thus holding potential to address this challenge. …”
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Evaluation of Novel AI Architectures for Uncertainty Estimation by Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja

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Vieillir chez soi. Formes spatiales et sociales propices au maintien à domicile des personnes âgées dans les grands ensembles, le cas toulousain by Audrey Courbebaisse, Marianne Pommier

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Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques by Mohammed Benaafi, Waleed M. Hamanah, Ebrahim Al-Wajih

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Safety Autonomous Platform for Data-Driven Risk Management Based on an On-Site AI Engine in the Electric Power Industry by Dongyeop Lee, Daesik Lim, Joonwon Lee

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A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease by Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Fatima Amounas

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